Mathematical Aspects of Deep Learning
Book Details
Format
Hardback or Cased Book
ISBN-10
1316516784
ISBN-13
9781316516782
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 22nd, 2022
Print length
492 Pages
Weight
1,068 grams
Dimensions
17.70 x 25.00 x 2.90 cms
Product Classification:
Calculus & mathematical analysisMathematical theory of computationMachine learning
Ksh 14,300.00
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The development of a theoretical foundation for deep learning methods constitutes one of the most active and exciting research topics in applied mathematics. Written by leading experts in the field, this book acts as a mathematical introduction to deep learning for researchers and graduate students trying to get into the field.
In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research.
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